In Vivo Intelligent Fluorescence Endo-Microscopy by Varifocal Meta-Device and Deep Learning
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
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Original language | English |
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Article number | 2307837 |
Journal / Publication | Advanced Science |
Volume | 11 |
Issue number | 20 |
Online published | 15 Mar 2024 |
Publication status | Published - 28 May 2024 |
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DOI | DOI |
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Link to Scopus | https://www.scopus.com/record/display.uri?eid=2-s2.0-85187639769&origin=recordpage |
Permanent Link | https://scholars.cityu.edu.hk/en/publications/publication(ad128feb-2109-48a1-84c1-5b9c90ad35e5).html |
Abstract
Endo-microscopy is crucial for real-time 3D visualization of internal tissues and subcellular structures. Conventional methods rely on axial movement of optical components for precise focus adjustment, limiting miniaturization and complicating procedures. Meta-device, composed of artificial nanostructures, is an emerging optical flat device that can freely manipulate the phase and amplitude of light. Here, an intelligent fluorescence endo-microscope is developed based on varifocal meta-lens and deep learning (DL). The breakthrough enables in vivo 3D imaging of mouse brains, where varifocal meta-lens focal length adjusts through relative rotation angle. The system offers key advantages such as invariant magnification, a large field-of-view, and optical sectioning at a maximum focal length tuning range of ≈2 mm with 3 µm lateral resolution. Using a DL network, image acquisition time and system complexity are significantly reduced, and in vivo high-resolution brain images of detailed vessels and surrounding perivascular space are clearly observed within 0.1 s (≈50 times faster). The approach will benefit various surgical procedures, such as gastrointestinal biopsies, neural imaging, brain surgery, etc.
© 2024 The Authors. Advanced Science published by Wiley-VCH Gmb
© 2024 The Authors. Advanced Science published by Wiley-VCH Gmb
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Citation Format(s)
In Vivo Intelligent Fluorescence Endo-Microscopy by Varifocal Meta-Device and Deep Learning. / Chia, Yu-Hsin; Liao, Wei-Hao; Vyas, Sunil et al.
In: Advanced Science, Vol. 11, No. 20, 2307837, 28.05.2024.
In: Advanced Science, Vol. 11, No. 20, 2307837, 28.05.2024.
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
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